Software Engineer

Job Description

Responsibilities

• Define the backend and platform architecture for AI-driven product experiences — visual-chat, AI image generation and editing, and agentic or LLM-based products — partnering with Engineering, Product, ML and UX leaders to shape the technical vision and roadmap.
• Architect end-to-end systems spanning API layers, orchestration, logging, evaluation, storage and safety controls, ensuring solutions scale across multiple products and teams.
• Lead resolution of complex technical challenges — e.g., scaling LLM inference for real-time features, balancing latency vs. quality in AI-generated content, and standardizing backend capabilities for reuse.
• Design and implement production backend systems including API endpoints, orchestration layers, data models, caching strategies and integrations with LLM infrastructure.
• Use AI to accelerate prototyping, evaluation design and code generation, while applying judgment and verification to ensure correctness and quality.
• Create and evolve shared tooling and evaluation frameworks for LLM-based experiences, including offline eval pipelines, A/B testing hooks, quality metrics and observability.
• Guide the design of projects with significant complexity and ambiguity spanning multiple teams — setting technical direction, reviewing critical design docs and driving alignment across cross-functional partners.
• Raise the bar on operational excellence by improving monitoring, alerting, incident response, capacity planning and service health — and mentor engineers to develop stronger ownership habits and grow into technical leaders.

What we’re looking for:

• Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent experience.
• Minimum of 6 years of backend software engineering experience with a track record of leading and shipping projects with substantial impact on team-level or org-level goals.
• Experience operating as a technical leader for large, ambiguous, cross-functional initiatives spanning one or more teams.
• Strong Python development skills — you write idiomatic, well-structured, maintainable Python and can confidently navigate and improve large codebases.
• Experience building on top of distributed systems — you’ve designed, built and operated services at scale, with strong judgment around caching, async processing, data storage tradeoffs, choosing existing database, indexing, and queueing solutions.
• Experience building LLM-powered or ML-backed products in production — you understand model integration, prompt and orchestration strategies, evaluation, latency/cost tradeoffs and operational challenges of AI-backed services.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow, with a clear approach to validating accuracy and quality of AI-assisted work.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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